Geolytica POIData.xyz Points of Interest (POI) Geo Data - China product image in hero

Geolytica POIData.xyz Points of Interest (POI) Geo Data - China

Geolytica
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Data Samples
#
main_category
second_category
main_category_en
second_category_en
adr
prov
source_url
crawl_time
weekday_busy_times
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx
2 xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx
3 Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx
4 xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx
5 xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx
6 xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx
7 xxxxxxxxxx xxxxxx Xxxxx Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx
8 xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxx xxxxxx
9 xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx
10 xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx Xxxxx xxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxx
... Xxxxx xxxxxxxxx xxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxxxxxx Xxxxxxx Xxxxx Xxxxx Xxxxx Xxxxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxx
Sign In To Preview Data
Volume
11.6M
records
Data Quality
100%
Coverage
Avail. Format
.csv
File
Coverage
1
Country

Data Dictionary

[Sample] cn_sample.csv
Attribute Type Example Mapping
String 侨社汽车客运站 POI Name
String Coca Cola Brand Name
String (0755)255704 POI Telephone
main_category
String 交通设施
second_category
String 长途汽车站
main_category_en
String Transportation facilities
second_category_en
String long-distance bus station
Integer 8077331574906 Location ID
Integer 679831 Area ID
Integer 807733157 Small Area ID
Float 22.530718 Latitude
Float 114.115865 Longitude
adr
String 和平路 1009
String 深圳市 City Name
String 深圳市罗湖区 Neighborhood Name
prov
String 广东省
String 10119 Postal Code
String China Country Name
String 广东省深圳市罗湖区和平路####号 Address
source_url
String
String *****@*****.*** ** *******@*****.*** Email Address
String POI Opening Hours
crawl_time
DateTime 2021-12-31T22:17:04+00:00
weekday_busy_times
String d0: h0: 33, h1: 34, h2: 24, h3: 17, h4: 23, h5: 17, h6: 2...
Product Attributes
Attribute Type Example Mapping
String 品佳综合超市 POI Name
String 13841806164 POI Telephone
main_category
购物
second_category
超市
String 8023146142478 Location ID
String 675270 Area ID
Integer 802314614 Small Area ID
Float 41.995433 Latitude
Float 121.64958 Longitude
adr
振兴二 5
String 阜新 City Name
String 海州 Neighborhood Name
prov
辽宁
String 000000 Postal Code
String China Country Name
String 辽宁省阜新市海州区振兴二街#号 Address
source_url
https://www.dianping.com
String ****@********.*** Email Address
crawl_time
2021-02-28 23:05:44
Text 周一至周日 05:36-21:36 POI Opening Hours
String 品佳综合超市 Brand Name

Description

This is a complete Point of Interest (POI) Dataset for China as of August 2022 containing 11,621,363 records geocoded with rooftop accuracy. There are 1618 categories with the top 4: 购物 Shopping 1738408, 美食 Food 835364, 公司企业 Company 823873, 房地产 Real estate 640527. See https://store.poidata.xyz/cn
Point-of-interest (POI) is defined as a physical entity (such as a business) in a geo location (point) which may be (of interest). We strive to provide the most accurate, complete and up to date point of interest datasets for all countries of the world. The China POI Dataset is one of our worldwide POI datasets with over 90% coverage. This is our process flow: Our machine learning systems continuously crawl for new POI data Our geoparsing and geocoding calculates their geo locations Our categorization systems cleanup and standardize the datasets Our data pipeline API publishes the datasets on our data store POI Data is in a constant flux - especially so during times of drastic change such as the Covid-19 pandemic. Every minute worldwide on an average day over 200 businesses will move, over 600 new businesses will open their doors and over 400 businesses will cease to exist. In today's interconnected world, of the approximately 200 million POIs worldwide, over 94% have a public online presence. As a new POI comes into existence its information will appear very quickly in location based social networks (LBSNs), other social media, pictures, websites, blogs, press releases. Soon after that, our state-of-the-art POI Information retrieval system will pick it up. We offer our customers perpetual data licenses for any dataset representing this ever changing information, downloaded at any given point in time. This makes our company's licensing model unique in the current Data as a Service - DaaS Industry. Our customers don't have to delete our data after the expiration of a certain "Term", regardless of whether the data was purchased as a one time snapshot, or via a recurring payment plan on our data update pipeline. The main differentiators between us vs the competition are our flexible licensing terms and our data freshness. The core attribute coverage for China is as follows: Poi Field Data Coverage (%) poi_name 100 brand 3 poi_tel 27 formatted_address 100 main_category 93 latitude 100 longitude 100 neighborhood 43 source_url 3 email 1 opening_hours 15 The dataset may be viewed online at https://store.poidata.xyz/cn and a data sample may be downloaded at https://store.poidata.xyz/datafiles/cn_sample.csv

Geography

Asia (1)
China

Volume

11.6 million records

Pricing

Free sample available
10% discount if you buy via Datarade
License Starts at
One-off purchase
$70,000$63,000 / purchase
Monthly License Not available
Yearly License
$60,000$54,000 / year
Usage-based
$0.01$0.01 / per record

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Coverage

Delivery

Methods
Email
Frequency
secondly
Format
.csv

Use Cases

Categories

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Frequently asked questions

What is Geolytica POIData.xyz Points of Interest (POI) Geo Data - China?

This is a complete Point of Interest (POI) Dataset for China as of August 2022 containing 11,621,363 records geocoded with rooftop accuracy. There are 1618 categories with the top 4: 购物 Shopping 1738408, 美食 Food 835364, 公司企业 Company 823873, 房地产 Real estate 640527. See https://store.poidata.xyz/cn

What is Geolytica POIData.xyz Points of Interest (POI) Geo Data - China used for?

This product has 3 key use cases. Geolytica recommends using the data for Location Intelligence, Real Estate Analytics, and Point of Interest (POI) Mapping. Global businesses and organizations buy Location Data from Geolytica to fuel their analytics and enrichment.

Who can use Geolytica POIData.xyz Points of Interest (POI) Geo Data - China?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with Geolytica to see what their data can do for your business and find out which integrations they provide.

Which countries does Geolytica POIData.xyz Points of Interest (POI) Geo Data - China cover?

This product includes data covering 1 country like China. Geolytica is headquartered in Canada.

How much does Geolytica POIData.xyz Points of Interest (POI) Geo Data - China cost?

Pricing for Geolytica POIData.xyz Points of Interest (POI) Geo Data - China starts at USD0.01 per per record. Geolytica offers a 10% discount when you buy data from them through Datarade. Connect with Geolytica to get a quote and arrange custom pricing models based on your data requirements.

How can I get Geolytica POIData.xyz Points of Interest (POI) Geo Data - China?

Businesses can buy Location Data from Geolytica and get the data via Email. Depending on your data requirements and subscription budget, Geolytica can deliver this product in .csv format.

What is the data quality of Geolytica POIData.xyz Points of Interest (POI) Geo Data - China?

Geolytica has reported that this product has the following quality and accuracy assurances: 100% Coverage. You can compare and assess the data quality of Geolytica using Datarade’s data marketplace. Geolytica appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? .

What are similar products to Geolytica POIData.xyz Points of Interest (POI) Geo Data - China?

This Tabular Data has 3 related products. These alternatives include The Data Appeal Business Location Data Point of Interest (POI) Data Map Data API, Dataset 200 Million + POI Data Mapped, Xtract.io - Point-of-Interest (POI) Data Locations data Top Cannabis Store locations in US, and Grepsr Walgreens US Stores Across the United States Geospatial Data Insights. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$0.01$0.01 / per record
License Starts at
One-off purchase
$70,000$63,000 / purchase
Monthly License Not available
Yearly License
$60,000$54,000 / year
Usage-based
$0.01$0.01 / per record